Parametric Embedding for Class Visualization
Iwata, Tomoharu, Saito, Kazumi, Ueda, Naonori, Stromsten, Sean, Griffiths, Thomas L., Tenenbaum, Joshua B.
–Neural Information Processing Systems
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model.
Neural Information Processing Systems
Dec-31-2005